mvinfluence: Influence Measures and Diagnostic Plots for Multivariate Linear Models

Computes regression deletion diagnostics for multivariate linear models and provides some associated diagnostic plots. The diagnostic measures include hat-values (leverages), generalized Cook's distance, and generalized squared 'studentized' residuals. Several types of plots to detect influential observations are provided.

Version: 0.9.0
Depends: car, heplots
Suggests: knitr, rmarkdown, ggplot2, tibble, patchwork, rgl, dplyr
Published: 2022-09-20
DOI: 10.32614/CRAN.package.mvinfluence
Author: Michael Friendly ORCID iD [aut, cre]
Maintainer: Michael Friendly <friendly at yorku.ca>
BugReports: https://github.com/friendly/mvinfluence/issues
License: GPL-2
URL: https://github.com/friendly/mvinfluence
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: mvinfluence results [issues need fixing before 2025-09-01]

Documentation:

Reference manual: mvinfluence.pdf
Vignettes: Univariate versus Multivariate Influence

Downloads:

Package source: mvinfluence_0.9.0.tar.gz
Windows binaries: r-devel: mvinfluence_0.9.0.zip, r-release: mvinfluence_0.9.0.zip, r-oldrel: mvinfluence_0.9.0.zip
macOS binaries: r-release (arm64): mvinfluence_0.9.0.tgz, r-oldrel (arm64): mvinfluence_0.9.0.tgz, r-release (x86_64): mvinfluence_0.9.0.tgz, r-oldrel (x86_64): mvinfluence_0.9.0.tgz
Old sources: mvinfluence archive

Reverse dependencies:

Reverse suggests: heplots

Linking:

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